Evidence mapPaperPMID 37366865Full record

ReviewDiseases (Basel, Switzerland)2023

MicroRNAs' Role in Diagnosis and Treatment of Subarachnoid Hemorrhage.

Zahra Hasanpour Segherlou, Lennon Saldarriaga, Esaan Azizi, Kim-Anh Vo, Ramya Reddy, Mohammad Reza Hosseini Siyanaki, Brandon Lucke-Wold

Open access · goldAbstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Molecular heterogeneity in human stroke - What can we learn from the peripheral blood transcriptome?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  3. Article
  4. Article
  5. Article
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  8. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Zahra Hasanpour SegherlouDepartment of Neurosurgery, College of Medicine, University of Florida, Gainesville, FL 32661, USA.ORCID 0000-0003-2001-0268
Lennon SaldarriagaCollege of Medicine, University of Florida, Gainesville, FL 32661, USA.
Esaan AziziCollege of Medicine, University of Florida, Gainesville, FL 32661, USA.
Kim-Anh VoCollege of Medicine, University of Florida, Gainesville, FL 32661, USA.
Ramya ReddyCollege of Medicine, University of Florida, Gainesville, FL 32661, USA.
Mohammad Reza Hosseini SiyanakiDepartment of Neurosurgery, College of Medicine, University of Florida, Gainesville, FL 32661, USA.
Brandon Lucke-WoldDepartment of Neurosurgery, College of Medicine, University of Florida, Gainesville, FL 32661, USA.ORCID 0000-0001-6577-4080
University of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subarachnoid hemorrhage (SAH) is most commonly seen in patients over 55 years of age and often results in a loss of many productive years. SAH has a high mortality rate, and survivors often suffer from early and secondary brain injuries. Understanding the pathophysiology of the SAH is crucial in identifying potential therapeutic agents. One promising target for the diagnosis and prognosis of SAH is circulating microRNAs, which regulate gene expression and are involved in various physiological and pathological processes. In this review, we discuss the potential of microRNAs as a target for diagnosis, treatment, and prognosis in SAH.

Indexed as

aneurysmal subarachnoid hemorrhageexosomesmicroRNAs

Identifiers

PMID37366865
PMCPMC10297144
OpenAlexW4378087020

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.